In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis.
You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments.
Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods.
We hope to take away some prejudice, and enthuse many students for qualitative research.

Observation

In the first module we discussed the philosophy of qualitative research, explaining some basic notions and general philosophical approaches. In this second module we'll discuss observation as an important method within qualitative research. What types of observation are there? How do we observe? And how do we analyse and describe our data?

Good Practices & Criteria

What makes qualitative research 'good' is a rather difficult question. Different criteria are suggested, but within the field of qualitative research there is not much agreement on these criteria. However, there is quite some agreement on what good practices of qualitative research are. In this module we will start in lesson 1 with a discussion of good practices of qualitative research.

Qualitative Analysis

In previous modules we discussed how you should observe a social situation or conduct a qualitative interview. Now we will focus on what to do with your data, by discussing qualitative analysis. In this module you will try to do a qualitative analysis by interpreting your observed data and try to code it.

Catch up week

In this module there's no new material. The only requirement in this module is that you finish up the final peer review assignment.

Reading

1 reading

Reading1件の学習用教材

Catch up? Or do some more!10 分

週

8

修了時間

1時間で修了

Exam week

This is the final module, where you can apply everything you've learned up until now in the final exam. Please note that you can only take the final exam once every day, so make sure you are fully prepared to take the test. Please follow the honor code and do not communicate or confer with others taking this exam. Good luck! Once you've taken the exam, please consider doing the other courses in our specialisation track. I hope it was an enjoyable experience. If it was, please consider joining in with the Massive Open Online Research by my colleague Christian Bröer. Thanks for all your hard work, feedback and interpretations, the course team and your fellow learners really appreciate it!

講師

アムステルダム大学（University of Amsterdam）について

A modern university with a rich history, the University of Amsterdam
(UvA) traces its roots back to 1632, when the Golden Age school Athenaeum
Illustre was established to train students in trade and philosophy. Today,
with more than 30,000 students, 5,000 staff and 285 study programmes
(Bachelor's and Master's), many of which are taught in English, and a
budget of more than 600 million euros, it is one of the largest
comprehensive universities in Europe. It is a member of the League of
European Research Universities and also maintains intensive contact with
other leading research universities around the world....

Methods and Statistics in Social Sciences専門講座について

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.
This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods....